Hainuo Zeng , Yuling Cui , Runlin Shao , Tong Li , Yanhao Zhao , Ruiheng Liu , Zhenkai Dai , Yuanjia Liu , Jun Wang , Qingmei Xie , Xinheng Zhang
{"title":"Microplastics in animal-derived products and their potential risks to human health","authors":"Hainuo Zeng , Yuling Cui , Runlin Shao , Tong Li , Yanhao Zhao , Ruiheng Liu , Zhenkai Dai , Yuanjia Liu , Jun Wang , Qingmei Xie , Xinheng Zhang","doi":"10.1016/j.trac.2025.118187","DOIUrl":"10.1016/j.trac.2025.118187","url":null,"abstract":"<div><div>Microplastics, a new type of pollutant widely present in aquatic, terrestrial, and atmospheric environments, have attracted global attention due to their accumulation in organisms and potential toxicity. In recent years, animal products, as an important source of human daily diet and consumer goods, have increasingly faced the risk of microplastic contamination. These microplastics can enter the human body through food consumption or the use of daily products, posing a threat to health. However, there is currently a lack of comprehensive reviews on the impact of microplastic contamination in animal products on human health. This review begins with the sources, migration, and accumulation mechanisms of microplastics, systematically elaborates on the routes through which microplastics enter the human body via animal products and their harmful effects on the body, and summarizes the detection and elimination technologies for microplastics in the environment to ensure the safety of animal products and human health. In summary, microplastics can enter animals through ingestion, gas exchange, and contact, and can remain in animal products, posing potential risks to the human respiratory, digestive, and immune systems. Although existing detection and removal technologies for microplastics have played a role in ensuring the safety of animal products, further optimization is needed to develop more efficient and environmentally friendly methods. In the future, efforts should be strengthened to research pollution prevention and purification technologies for microplastics, reduce their residues in animal products, and thereby effectively safeguard food safety and public health.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118187"},"PeriodicalIF":11.8,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comprehensive approaches to expanding CRISPR biosensor applications beyond nucleic acid targets","authors":"Indrani Nandi , Jyoti Verma , Rajendra Prasad , Sumit K. Singh , Pranjal Chandra","doi":"10.1016/j.trac.2025.118179","DOIUrl":"10.1016/j.trac.2025.118179","url":null,"abstract":"<div><div>The CRISPR/Cas system has transformed molecular diagnostics due to its exceptional specificity and programmability. Initially designed for detecting nucleic acids, recent progress has expanded its use to include non-nucleic acid targets. This review offers an in-depth examination of recent innovations in CRISPR-based biosensing, focusing on proteins, heavy metals, toxins, and other metabolites. It highlights novel methods that incorporate antibodies, aptamers, and DNAzymes for detection. Key CRISPR biosensing techniques, such as target recognition, signal conversion, and amplification, are discussed within the context of biosensor design principles. The review also addresses the future potential and challenges of CRISPR-powered biosensors, suggesting areas for further development and improvement in biosensing technologies.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118179"},"PeriodicalIF":11.8,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Harshit Sahai , Ana M. Aguilera del Real , Alfredo Alcayde , M.J. Martínez Bueno , Chen Wang , María Dolores Hernando , Amadeo R. Fernández- Alba
{"title":"Key insights into microplastic pollution in agricultural soils: A comprehensive review of worldwide trends, sources, distribution, characteristics and analytical approaches","authors":"Harshit Sahai , Ana M. Aguilera del Real , Alfredo Alcayde , M.J. Martínez Bueno , Chen Wang , María Dolores Hernando , Amadeo R. Fernández- Alba","doi":"10.1016/j.trac.2025.118176","DOIUrl":"10.1016/j.trac.2025.118176","url":null,"abstract":"<div><div>Microplastics in agricultural ecosystems have gained recent attention due to their widespread prevalence and the reported impacts. The current study reviews close to 90 relevant publications. Seventy studies were selected using ResNetBot, a tool designed to identify key works based on their significance to other studies matching the search criteria. The selection focused on global occurrence of microplastics within agricultural landscapes, emphasizing their distribution, origins, concentrations, morphology, color, polymer types, dimensions, vertical distribution, and the implications of land use. Furthermore, this study included predominant methodologies for extracting, identifying, and characterizing microplastics. Plastic mulch films represent the primary source of input, accompanied by sewage sludge, biosolids, irrigation water (notably wastewater), atmospheric deposition, and polymer-coated fertilizers, among others. Concentrations exhibit considerable variability, ranging from a few particles/kg in low-input regions to exceeding 80,000 particles/kg in areas subjected to prolonged mulching practices. Polyethylene and polypropylene are the most frequently encountered polymers, while fragments, fibers, and films are predominant forms, with films strongly linked to mulching and fibers typically associated with biosolid applications. Transparent/white and black particles are predominant, reflecting the materials commonly utilized in film applications. Microplastic concentrations generally decrease with soil depth; however, smaller particles penetrate deeper soil layers. Intensive agricultural practices demonstrate significantly elevated microplastic loads in comparison to less intensive or natural ecosystems. Density separation methods (commonly utilizing NaCl) followed by digestion processes (often employing H<sub>2</sub>O<sub>2</sub>) are standard practices for isolating microplastics while spectroscopic methodologies (including FTIR/μ-FTIR and Raman spectroscopy) are essential for verifying polymer composition and ensuring precise identification.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118176"},"PeriodicalIF":11.8,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beyond single-analyte detection: Advancing molecularly imprinted polymers for simultaneous multi-target sensing","authors":"Fatah Ben Moussa , Tutku Beduk , Amadeo Sena-Torralba , Duygu Beduk , Abdellatif Ait Lahcen , Wlodzimierz Kutner , Ajeet Kaushik","doi":"10.1016/j.trac.2025.118177","DOIUrl":"10.1016/j.trac.2025.118177","url":null,"abstract":"<div><div>Molecular imprinting in polymers is one of the most rapidly growing trends in chemical sensing, offering high stability and selectivity for target analytes. Delving into the synthesis methods and highlighting innovations that enable the simultaneous determination of multiple analytes, we extensively and critically reviewed herein the advancements in multi-analyte molecularly imprinted polymer (MIP) sensors applied in various fields. The fundamentals of MIP-based electrochemical and optical sensors featuring hybrid recognition systems, as well as the challenges related to removing templates from MIPs, separation of detection signals, and upscaling for commercialization, are deeply discussed. Moreover, considering the potential of MIPs as efficient platforms for multi-target sensing, we provide insight into the critical aspects that hinder the MIP sensors from crossing laboratory borders. By identifying recent progress and persistent challenges, the current review serves as a guide for advancing MIP-based sensing platforms for multiple target analytes recognizing across medical, pharmaceutical, and environmental domains.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118177"},"PeriodicalIF":11.8,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Filippo Silveri, Flavio Della Pelle, Dario Compagnone
{"title":"Recent advances in sustainable strategies for the integration of nanostructured sensing surfaces in electroanalytical devices","authors":"Filippo Silveri, Flavio Della Pelle, Dario Compagnone","doi":"10.1016/j.trac.2025.118175","DOIUrl":"10.1016/j.trac.2025.118175","url":null,"abstract":"<div><div>Nanomaterials (NMs) integration in electrochemical devices as conductive nanostructured freestanding transducers and sensing surfaces has emerged in the analytical scenario, toward on-demand device manufacturing and fully exploiting NMs' features.</div><div>This review reports the advances in developing electroanalytical devices based on nanostructured sensing films/surfaces obtained via accessible/sustainable strategies. Various manufacturing approaches are discussed including emerging nanostructured film-transfer technologies and nanofilms' direct generation onto low-cost substrates. Additive manufacturing and printed electronics are also treated, focusing on straightforward strategies for printed device nano-structuring. Post-production nano-modifications of preexisting transducers/electrodes are not considered.</div><div>This review outlines a critical overview concerning technological novelties to obtain nanofilm-based sensors, biosensors, and electroanalytical devices, and related analytical advancements. In particular, attention is paid to nanofilms 'manufacturing strategies' based on user-friendly technologies, focusing on approaches devoted to improving sustainability. The topics will be covered describing noteworthy advancements, giving technical/practical advice, pointing out limitations, and outlining future perspectives.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118175"},"PeriodicalIF":11.8,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CRISPR-Cas technology for rapid detection of pathogens","authors":"Hossein Daneshgar , Moein Safarkhani , Soheil Sojdeh , Mojtaba Bagherzadeh , Navid Rabiee","doi":"10.1016/j.trac.2025.118174","DOIUrl":"10.1016/j.trac.2025.118174","url":null,"abstract":"<div><div>In battling global pathogens like SARS-CoV-2, salmonella, and malaria, rapid and precise detection methods are vital. Traditional approaches often face cost and accessibility challenges, especially in resource-limited areas. Integrating CRISPR-Cas technology into detection processes is a game-changer, offering unparalleled specificity and speed for point-of-care use. This method aligns with Green Biomaterials principles, emphasizing eco-friendliness and resource efficiency. By incorporating green biomaterials, the CRISPR-Cas system becomes more sustainable, efficient, and environmentally sensitive. This integration revolutionizes pathogen detection while promoting environmental stewardship. It not only advances rapid detection but also underscores a commitment to ecological consciousness and sustainability in diagnostics, offering promise for global health.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118174"},"PeriodicalIF":11.8,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lijun Chen , Zhengao Di , Zhangshuang Deng , Yiqing Zhou
{"title":"Functional proteomics in plants: The role of chemical tools and applications","authors":"Lijun Chen , Zhengao Di , Zhangshuang Deng , Yiqing Zhou","doi":"10.1016/j.trac.2025.118160","DOIUrl":"10.1016/j.trac.2025.118160","url":null,"abstract":"<div><div>With the significant advances in “-omics” technologies, various biological approaches and analytical platforms have been developed to uncover the functions and involved biological processes of proteins in plants. However, in-depth characterization of protein functions at the molecular level, such as protein activities, interactions and post-translational modifications (PTMs), remains one of the most challenging tasks in plant science. As an alternative, chemical proteomics has emerged as a precise and dynamic analytical method that employs chemical tools to explore the functional states of proteins within complex proteomes. This review highlights the contributions of chemical tools in plant functional proteomics studies, with focus on their applications in evaluating enzyme activity, identifying receptors or targets of bioactive small molecules, elucidating biosynthetic pathways of plant natural products, and profiling PTMs in plant-derived biological systems.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118160"},"PeriodicalIF":11.8,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chentao Li , Yinglin Wang , Yafang Wu , Ying Yu , Yali Liu , Qing Liu
{"title":"Surface-enhanced Raman scattering for the detection of biomarkers of neurodegenerative diseases: A review","authors":"Chentao Li , Yinglin Wang , Yafang Wu , Ying Yu , Yali Liu , Qing Liu","doi":"10.1016/j.trac.2025.118173","DOIUrl":"10.1016/j.trac.2025.118173","url":null,"abstract":"<div><div>Neurodegenerative diseases (NDs) have a significant impact on human health. Biomarkers have always been a useful biochemical indicator for making diagnoses. Multiple biomarkers such as amyloid-β (Aβ), tubulin-associated unit (Tau), α-synuclein (α-syn), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) have been proven to be related to NDs. Surface-enhanced Raman scattering (SERS), due to its unique advantages, is regarded as an effective method for detecting biomarkers. Therefore, the purpose of this review is to evaluate the progress of SERS-based sensors in detecting biomarkers of NDs. In this article, the basic information of SERS and different protein biomarkers are first introduced. At the same time, it elaborates in detail the development of SERS in detecting protein biomarkers and machine learning (ML)-assisted detection. Finally, based on the current status of SERS detection, the problems that need to be solved at present and the future development directions were discussed.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118173"},"PeriodicalIF":11.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143348917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shan-Shan Zhang , Heejeong Kim , Yongqing Zhou , Heemin Kang , Juyoung Yoon
{"title":"Recent developments of small-molecule fluorescent probes for the detection of hydroxyl radical in biological systems","authors":"Shan-Shan Zhang , Heejeong Kim , Yongqing Zhou , Heemin Kang , Juyoung Yoon","doi":"10.1016/j.trac.2025.118165","DOIUrl":"10.1016/j.trac.2025.118165","url":null,"abstract":"<div><div>Intracellular reactive oxygen species are mainly produced from oxygen through electron-transfer reactions, which diffusely discovered in biological organisms. Among them, hydroxyl radical (•OH) embodies crucial physiological functions and roles. However, the over-whelming of •OH are associated with various oxidative stress-related pathophysiological disorders, such as inflammation, liver injury, depression, and cancer. Nevertheless, some exact pathogenic traits of •OH in biological systems remain unknown because of its high reactivity, short half-life, and low concentrations. To better grasp the characteristics of •OH in physiological and pathological processes, it is crucial to develop highly sensitive and selective detection tools. Thus, small-molecule fluorescent probes have proven to be useful tools for <em>in situ</em> and real-time monitoring of variations in reactive species in living systems, owing to their high spatiotemporal resolution, noninvasiveness, high sensitivity, and high selectivity. In this regard, this review discusses high-performance molecular probes for monitoring •OH fluctuations and studying the relevant mechanisms in living systems. We expect that this review will provide a comprehensive introduction to •OH-responsive fluorescent probes and their further applications in biomedical and clinical fields.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118165"},"PeriodicalIF":11.8,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ruian Tang , Jianyu Yang , Changfa Shao , Ning Shen , Bo Chen , Yu Gu , Changming Li , Dong Xu , Chunxian Guo
{"title":"Two-dimensional nanomaterials-based optical biosensors empowered by machine learning for intelligent diagnosis","authors":"Ruian Tang , Jianyu Yang , Changfa Shao , Ning Shen , Bo Chen , Yu Gu , Changming Li , Dong Xu , Chunxian Guo","doi":"10.1016/j.trac.2025.118162","DOIUrl":"10.1016/j.trac.2025.118162","url":null,"abstract":"<div><div>Artificial intelligence techniques based on machine learning (ML) are prevalent in healthcare for disease diagnosis, drug discovery, and patient risk identification. Two-dimensional nanomaterials (2DMs)-based optical biosensors have received extensive attention because of their high sensitivity, easy operation and fast response. Recent advances have been achieved for 2DMs-based optical biosensors empowered by ML algorithms for intelligent diagnosis. In this review, we present a comprehensive summary about ML algorithms-assisted 2DMs-based optical biosensors for intelligent diagnosis. We first introduce basic principles of ML algorithms and describe the advantages of 2DMs as sensing materials in optical biosensors. Then, we summarize the recent development of ML-assisted 2DMs-based optical biosensors, particularly focusing on fluorescence biosensors, colorimetric biosensors, and Raman biosensors. Rational selections of ML algorithms are recommended based on the forms of the biosensor data and target analytes. It ends by listing the current challenges and proposing future trends of ML-assisted 2DMs-based optical biosensors for intelligent diagnosis.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118162"},"PeriodicalIF":11.8,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143198347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}